The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Accuracy and reliability of a Cosmed K4b2 portable gas analysis system
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Duffield et al found that the COSMED K4b2 system overestimated VO2 during intermittent treadmill exercise compared with a laboratory metabolic cart but demonstrated satisfactory test-retest reliability.
“Similarly, Duffield et al 19 found that the COSMED K4 b 2 system overestimated VO 2 during intermittent treadmill exercise compared with a laboratory metabolic cart but noted that the COSMED K4 b 2 system demonstrated satisfactory test-retest reliability.”
From Metabolic Costs of Military Load Carriage over Complex Terrain (2018) · cites this paper as [19]
The Douglas bag, mass spectrometer, and other laboratory-based metabolic system assessments of the validity of the Cosmed K4b2 unit reported positive, but consistent within-study bias ranging from 2% to 25% across the relevant measurement range.
“The Douglas bag, mass spectrometer, and other laboratory-based metabolic system assessments of the validity of the Cosmed K4b2 unit (22–28) we used reported positive, but consistent within-study bias ranging from 2% to 25% across the relevant measurement range.”
From Real-world walking economy: can laboratory equations predict field energy expenditure? (2021) · cites this paper as [22]
The calorimeter model in question consistently exceeds well-validated laboratory systems under similar conditions by magnitudes ranging from 2% to 25%.
“The calorimeter model in question consistently exceeds well-validated laboratory systems under similar conditions by magnitudes ranging from 2% to 25% (22–28).”
From Real-world walking economy: can laboratory equations predict field energy expenditure? (2021) · cites this paper as [22]
Accuracy metrics for individuals could misrepresent equation predictive accuracy because the measurement variability of the portable calorimeter would be present to an unknown extent.
“Equally important, accuracy metrics for individuals could misrepresent equation predictive accuracy because the measurement variability of the portable calorimeter (22–28, Fig. 3) would be present to an unknown extent.”
From Real-world walking economy: can laboratory equations predict field energy expenditure? (2021) · cites this paper as [22]
Citations
Cites
STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT
Martin Bland, J., & Altman, D. (1986) · The Lancet · doi:10.1016/s0140-6736(86)90837-8 · Cited by 47,965
The validity of a repeated sprint ability test
Bishop, D., Spencer, M., Duffield, R., & Lawrence, S. (2001) · Journal of Science and Medicine in Sport · doi:10.1016/s1440-2440(01)80004-9 · Cited by 259
Self-citation
Flagged first, then by citations
Research works printed but not linked: 15
- Macfarlane, 2001, Automated metabolic gas analysis systems: a review, Sports Med, 31, 841, 10.2165/00007256-200131120-00002 · DOI
- Lucia, 1993, Validity and reliability of the Cosmed K2 instrument, Int J Sports Med, 14, 380, 10.1055/s-2007-1021196 · DOI
- Peel, 1993, Oxygen consumption using the K2 telemetry system and a metabolic cart, Med J Sports Exerc, 25, 396
- Crandall, 1994, Evaluation of the Cosmed K2 portable telemetric oxygen uptake analyser, Med Sci Sports Exerc, 26, 108, 10.1249/00005768-199401000-00018 · DOI
- Sheel, 1996, Comparison of Aero-bars versus traditional cycling postures on physiological parameters during sub maximal cycling, Can J Appl Physiol, 21, 16, 10.1139/h96-002 · DOI
- Hausswirth, 1996, The Cosmed K4 telemetry system as an accurate device for oxygen uptake measurements during exercise, Int J Sports Med, 18, 449
- Billat, 2000, Intermittent runs at the velocity associated with maximal oxygen uptake enables subjects to remain at maximal oxygen uptake for a longer time than intense but sub-maximal runs, Eur J Appl Physiol, 81, 188, 10.1007/s004210050029 · DOI · Paper page
- Swartz, 2000, Estimation of energy expenditure using CSA accelerometers at hip and wrist sites, Med Sci Sports Exerc, 32, S450, 10.1097/00005768-200009001-00003 · DOI
- Pinnington, 2001, The level of accuracy and agreement in measures of FE O2, CO2, and V̇E between a Cosmed K4b2 portable respiratory gas analysis system and a metabolic cart, J Sci Med Sport, 4, 324, 10.1016/S1440-2440(01)80041-4 · DOI · Paper page
- McLaughlin, 2001, Validation of the Cosmed K4b2 portable metabolic system, Int J Sports Med, 22, 280, 10.1055/s-2001-13816 · DOI · Paper page
- Parr, 2001, Validation of the Cosmed K4b2 portable metabolic measurement system, Med Sci Sports Exerc, 33, S300, 10.1097/00005768-200105001-01691 · DOI
- Doyon, 2001, Field testing of VO2 peak in cross country skiers with a portable breath by breath system, Can J Appl Physiol, 26, 1, 10.1139/h01-001 · DOI
- LaBreche, 2001, Evaluation of the Cosmed K4b2 portable metabolic system during maximal exercise, Can J Appl Physiol, 26, 492
- Melanson, 1996, Reliability of a portable metabolic measurement system, Can J Appl Physiol, 21, 109, 10.1139/h96-010 · DOI
- Hughson, 1986, Oxygen uptake kinetics from ramp work tests: variability of single test values, J Appl Physiol., 61, 373, 10.1152/jappl.1986.61.1.373 · DOI
Cited by
Sorted by citations
Human metabolic rate and thermal comfort in buildings: The problem and challenge
Luo, M., Wang, Z., Ke, K., Cao, B., Zhai, Y., & Zhou, X. (2018) · Building and Environment · doi:10.1016/j.buildenv.2018.01.005 · Cited by 231
Chowdhury, E. A., Western, M. J., Nightingale, T. E., Peacock, O. J., & Thompson, D. (2017) · PLOS ONE · doi:10.1371/journal.pone.0171720 · Cited by 118
Paoli, A., Marcolin, G., Zonin, F., Neri, M., Sivieri, A., & Pacelli, Q. F. (2011) · International Journal of Sport Nutrition and Exercise Metabolism · doi:10.1123/ijsnem.21.1.48 · Cited by 45
Metabolic Costs of Military Load Carriage over Complex Terrain
Looney, D. P., Santee, W. R., Karis, A. J., Blanchard, L. A., Rome, M. N., Carter, A. J., & Potter, A. W. (2018) · Military Medicine · doi:10.1093/milmed/usx099 · Cited by 30
Stine, J. G., Schreibman, I., Navabi, S., Kang, M., Dahmus, J., Soriano, C., Rivas, G., Hummer, B., Beyer, M., Tressler, H., et al. (2020) · Contemporary Clinical Trials Communications · doi:10.1016/j.conctc.2020.100560 · Cited by 19
Naugle, K. E., Carey, C., Ohlman, T., Godza, M., Mikesky, A., & Naugle, K. M. (2019) · Journal of Strength and Conditioning Research · doi:10.1519/jsc.0000000000002997 · Cited by 15
Real-world walking economy: can laboratory equations predict field energy expenditure?
Weyand, P. G., Ludlow, L. W., Nollkamper, J. J., & Buller, M. J. (2021) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00121.2021 · Cited by 6
Metadata
- Authors
- Duffield, R., Dawson, B., Pinnington, H. C., & Wong, P.
- Venue
- Journal of Science and Medicine in Sport
- Publisher
- Elsevier BV
- Published
- 2004-03
- Volume
- 7
- Issue
- 1
- Pages
- 11-22
- ISSN
- 1440-2440
- Cited by
- 246
- References
- 2
- Language
- en
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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